Content Core
Content Core MCP Server provides intelligent content extraction from diverse media sources including URLs, documents (PDF, Office files, EPUB), videos, audio files, and images through a unified interface. Built by Luis Novo, it leverages multiple extraction engines with smart auto-detection - using Docling for documents when available, falling back to PyMuPDF, and supporting Firecrawl, Jina, or BeautifulSoup for web content based on API availability. The server handles complex workflows like YouTube transcript extraction, audio/video transcription via OpenAI Whisper, and OCR for images, making it valuable for research automation, content analysis, and building AI agents that need to process mixed media content without manual preprocessing.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- browser-automation
- Source
- PulseMCP
- Repository
- github.com/lfnovo/content-core
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Content Core from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.